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Bireun
City in Aceh, Indonesia
Overview
Bireun is a small but lively town in Aceh, Indonesia, known for its welcoming locals, traditional culture, and scenic rural surroundings. The city offers an authentic Acehnese experience with busy markets, local eateries, and riverside walks.
Geographic Context
Jurisdiction
Indonesia
Province
Aceh
Population
—
Time Zone
Asia/Jakarta
Coordinates
5.20°, 96.70°
Key Metrics
Safety Score · estimate
60
Female Safety
35
LGBTQ+ Safety
10
Traffic Safety
50
Food Safety
60
Monthly Cost · estimate
$378
Local Cost
$222
Local Income
$120
Cashless
30
English
25
Temperature
24.0°C
Summer Avg
24.2°C
Winter Avg
23.5°C
Record High
30.8°C
Record Low
16.7°C
Humidity
87%
Precipitation
2044 mm
Internet Speed
21 Mbps
Upload
10 Mbps
Latency
20 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
6
Walk Score
6
Footways
12.0
Airport
LSW
Distance
28 km
Explore
Data sources
Source-backed data
World Air Quality Index - Latest available city-level air quality station measurement. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-09.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-06.
Estimates and unverified origins
Oyster List climate data - Climate origins are unverified. Available methods include historical APIs and AI estimates; stored rows do not identify the original dataset, reference period, or model for each value. Treat these summaries as estimates until independently verified. Record updated 2026-03-22.
Oyster List city price estimates - Price origins are unverified. Available generation methods include AI estimates; stored records do not identify a survey, observation period, or model for each price. Record updated 2026-01-14.
Oyster List AI-assisted estimates - Safety, lifestyle, income, and practical scores include model-assisted estimates. Stored records do not identify supporting observations for each score. Model-reported confidence: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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